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Record W4408029993 · doi:10.1109/tap.2025.3543073

An Optically Transparent Near-Zero-Index Grating Metamaterial for Enhanced On-Glass Millimeter-Wave Radiation

2025· article· en· W4408029993 on OpenAlexaff
Ziheng Zhou, Yongjian Zhang, Zhicheng Kuang, Yue Li, Zhizhang Chen

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsDalhousie University
FundersNatural Science Foundation of Nantong UniversityNational Natural Science Foundation of China
KeywordsMetamaterialOpticsMaterials scienceMetamaterial antennaRadiationOptoelectronicsGratingMillimeterZero (linguistics)Extremely high frequencyRadiation patternPhysicsSlot antennaAntenna (radio)Telecommunications

Abstract

fetched live from OpenAlex

An optically transparent antenna (OTA) based on a grating metamaterial is proposed for launching high-gain millimeter-wave radiation on glasses. This design incorporates a glass-based dielectric image line with a grating made of a transparent conductive film (TCF), which provides an effective near-zero-index response through precise manipulation of spatial harmonic dispersion. To effectively overcome the intrinsic loss issue of TCF and control the power leakage, the field confinement in the grating metamaterial is engineered for optimizing the purely leakage-induced and total modal attenuations at the zero phase-progress state. The prototyped grating metamaterial antenna features an average optical transmittance of 76% over the visible spectrum. The antenna is validated to generate a near-broadside directive beam, achieving a realized gain exceeding 23 dBi and a total efficiency higher than 60% from 21.1 to 22.3 GHz. Through leaky mode confinement control and complex dispersion relationship engineering, this work offers a promising solution to realizing OTAs with a substantially improved gain and aperture efficiency.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.262
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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